With the development of high-throughput sequencing technologies, various platforms and the generation of multiple omics datasets across genomes, transcriptomes, epigenomes, proteomes and others, have been developed. Researchers usually focus on one key biology problem from different points of view (29 (link)). However, during transcriptome analysis, some studies on diurnal cycles (30 (link)), time-course (31 (link)), and the correlations of different abiotic or biotic stresses (31 (link)) often produce differentially expressed gene lists with intrinsic connections. Therefore, we developed the Batch SEA function to address requests to analyze multiple samples simultaneously. Batch SEA can cycle analyze the input gene lists with the same background, parameters and cut-offs, which accelerates the speed of processing and improves the efficiency.
SEACOMPARE was produced for the subsequent comparison of Batch SEA results. Two or more jobs can be selected for a comparative analysis with heatmaps to display the common or specific significant terms. The color in the tables indicates the P-values or FDRs.